The Research On Flight Control And Shape Decision-Making Of Morphing Aircraft

Morphing aircraft is a kind of aircraft that can greatly change its shape under different environments and missions.Compared with the classical aircraft,it has higher environmental adaptability and mission execution ability.Since its inception,it has become a research hotspot in various countries.However,the shape change of morphing aircraft in the process of morphing will lead to the change of aerodynamic force,center of gravity,moment of inertia and other parameters,so the modeling and flight control of morphing aircraft has always been the difficulty of research.To realize the intelligent control of the morphing aircraft,it is necessary for the aircraft to change to the optimal shape adaptively,which brings new challenges to the shape decisionmaking of the morphing aircraft.Based on fuzzy control method,active disturbance rejection control method and reinforcement learning method,the problem of flight control and shape decision-making of morphing aircraft is studied.The research contents are as follows:1.Aiming at the modeling problem of morphing aircraft,a dynamic model of morphing aircraft is established based on multi rigid body modeling theory.To solve the aerodynamic parameters related to variation rate in the model,the aerodynamic simulation model of morphing aircraft is established by DATCOM software,and the aerodynamic parameters of the aircraft under different variation rates are calculated respectively.Then the calculation results are imported into MATLAB software for fitting analysis,and the functional relationship between aerodynamic parameters and variation rate is obtained.2.Aiming at the tracking control problem of morphing aircraft,a tracking controller is designed based on T-S fuzzy theory.Firstly,the T-S fuzzy model of aircraft is established by Jacobian linearization method and T-S fuzzy modeling method.Then the T-S fuzzy controller is designed by pole assignment method and parallel distributed compensation principle,and the stability condition of the system is given.The simulation results verify the accuracy of T-S fuzzy model and the good tracking performance of T-S fuzzy controller.3.Aiming at the problem of disturbance rejection control of morphing aircraft,an active disturbance rejection controller is designed based on ADRC theory.Firstly,the state equations of velocity and altitude loops are obtained by decomposing the nonlinear model of the aircraft.Then the active disturbance rejection controller is introduced into the two loops and the parameters of the controller are adjusted.Finally,the results demonstrate that the controller can reduce the coupling effect between the two channels,keep the stability of the morphing process and has good anti disturbance performance.4.Aiming at the shape decision-making problem of morphing aircraft,a shape decision-making algorithm is designed based on reinforcement learning method.Considering the continuity of action space and state space,a shape decision-making framework is designed based on DDPG algorithm.For the problem that the algorithm is difficult to converge in training,a task classifier module based on LSTM network is designed to make the algorithm get the optimal strategy faster.Finally,the results show that the aircraft make autonomous shape decision-making according to the improved algorithm.